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The Amari distance is a measure between two nonsingular matrices. Useful for checking for convergence in ICA algorithms, and for comparing solutions.
● Data Source:
CranContrib
● Keywords: multivariate
● Alias: amari
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contrast functions for computing the negentropy criteria used in FastICA; see references.
● Data Source:
CranContrib
● Keywords: distribution
● Alias: G0, G1
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This is a contrast method for ProDenICA. It fits a tilted Gaussian density estimate by multiplying the Gaussian density by an exponential tilt function using a cubic smoothing spline
● Data Source:
CranContrib
● Keywords: distribution, smooth
● Alias: GPois
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ICAorthW
(Package: ProDenICA) :
turn a matrix W into an orthogonal matrix
use the SVD to orthogonalize a matrix
● Data Source:
CranContrib
● Keywords: multivariate
● Alias: ICAorthW
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A simple function for generating a 'well behaved' random square mixing matrix
● Data Source:
CranContrib
● Keywords: multivariate
● Alias: mixmat
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Internal ProDenICA functions
● Data Source:
CranContrib
● Keywords: internal
● Alias: d.gaussmix, dmix.dexp, modulus, r.gaussmix, rmix.dexp
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ProDenICA
(Package: ProDenICA) :
Product Density Independent Component Analysis
Fits an ICA model by directly estimating the densities of the independent components using Poisson GAMs. The densities have the form of tilted Gaussians, and hense directly estimate the contrast functions that lead to negentropy measures. This function supports Section 14.7.4 of 'Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2009, 2nd Edition)'. Models include 'FastICA'.
● Data Source:
CranContrib
● Keywords: distribution, multivariate
● Alias: ProDenICA
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Functions for generating the source densities used in Bach and Jordan (2002), and reused in Hastie and Tibshirani (2003)
● Data Source:
CranContrib
● Keywords: distribution
● Alias: djordan, rjordan
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providing 
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